[R-meta] How to do a graph with all variables and interactions

[Rafael Rios]

Dear Wolfgang and All,

How can I graph all variables and interactions for a mixed-effects
meta-analysis? I am providing an example bellow in wich part of the
variables and an interaction can be vizualised in the forest plot. In
addition, what are the most approppriate analyzes to investigate potential
effects of outliers in more complex models, such as a multilevel
meta-analysis controlling for phylogenetic non-independence? In case of
using Cook's distance, what should be the value of cut-off value?

library(metafor)
dat <- dat.konstantopoulos2011
dat$var1=c("A","B")
dat$var2=c("C","C","D", "D")
head(dat)
res <- rma.mv(yi, vi, mods=~var1*var2, random=list(~1|school,~1|year),
data=dat)
summary(res)

preds=predict(res,newmods=rbind(c(0,0,0),c(1,0,0),c(0,1,0),c(0,0,1)))
forest(preds$pred, sei=preds$se, slab=c("intercept", "var1B", "var2D",
"var1B:var2D"))

[image: image.png]

Best wishes,

Rafael.
__________________________________________________________

Dr. Rafael Rios Moura
*scientia amabilis*

Behavioral Ecologist, D.Sc.
Postdoctoral Researcher
Universidade Estadual de Campinas (UNICAMP)
Campinas, São Paulo, Brazil

ORCID: http://orcid.org/0000-0002-7911-4734
Currículo Lattes: http://lattes.cnpq.br/4264357546465157
Research Gate: https://www.researchgate.net/profile/Rafael_Rios_Moura2




<http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4244908A8>

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